A pair of computer science professors have developed a computer that can predict whether or not a player will be elected into the Baseball Hall of Fame. Lloyd Smith of Missouri State University and James Downey of the University of Central Arkansas have used a radial bias function network to identify statistical commonalities among Hall of Famers. According to their research, hits, home runs and on-base plus slugging percentages are what count for hitters, while wins, saves, earned run average and winning percentage are what count for pitchers. Their research indicates that Vladimir Guerrero has a 88.8% chance of being inducted into the Baseball Hall of Fame, while guys like Mike Mussina and Edgar Martinez have roughly a 50-50 shot.